EntropyHub

An open-source toolkit for entropic data analysis

https://www.entropyhub.xyz

Version 2.0.0 (6.39 MB)
2.7K Downloads
(7)
24 Apr 2024
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Cite As

Flood, Matthew W., and Bernd Grimm. “EntropyHub: An Open-Source Toolkit for Entropic Time Series Analysis.” PLOS ONE, edited by Mashallah Rezakazemi, vol. 16, no. 11, Public Library of Science (PLoS), Nov. 2021, p. e0259448, doi:10.1371/journal.pone.0259448.

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General Information

MATLAB Release Compatibility

  • Compatible with R2022a and later releases

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
2.0.0

+ Multivariate Sample Entropy
+ Multivariate Fuzzy Entropy
+ Multivariate Dispersion Entropy
+ Multivariate Permutation Entropy
+ Multivariate Cosine Similarity Entropy
+ Multivariate Multiscale Entropy
+ Composite Multivariate Multiscale Entropy
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2.0.0-0

+ Multivariate Sample Entropy
+ Multivariate Fuzzy Entropy
+ Multivariate Dispersion Entropy
+ Multivariate Permutation Entropy
+ Multivariate Cosine Similarity Entropy
+ Multivariate Multiscale Entropy
+ Composite Multivariate Multiscale Entropy
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  • Install in MATLAB

    Requires R2026b and later. Learn more
1.0.0

New Functions (RangEn, DivEn)
New fuzzy membership functions
Cross entropies with different length sequences
Phase permutation entropy added
Generalized multiscale entropy added
Refined-composite multiscale fuzzy entropy added
Several bug fixes
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0.2.1

License and Terms of Use updated to comply with MatLab File Exchange policies.
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0.2.0

The update to v0.2 includes two new bidimensional entropy functions:

Bidimensional Permutation Entropy (PermEn2D)
Bidimensional Espinosa Entropy (EspEn2D)
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0.1.1

The update to v0.1.1 includes a correction to the EnofEn function, allowing the user to specify the signal range (xmin, xmax) as outlined in the source literature. Other updates relate to documentation.
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0.1.0

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